Beom Sik Kang

2.0k citations
72 papers · 1.6k indexed · h-index 23
Topics
Enzyme Structure and Function (15 papers)RNA and protein synthesis mechanisms (12 papers)Microbial bioremediation and biosurfactants (10 papers)

In The Last Decade

Beom Sik Kang

70 papers receiving 1.6k citations

Peers

Beom Sik Kang
Comparison fields: 5 of 122
  • Molecular Biology 1.1k
  • Cell Biology 303
  • Genetics 140
  • Epidemiology 130
  • Materials Chemistry 127
Replace Yiu‐Kay Lai with:
Yiu‐Kay Lai Taiwan
Uhn‐Soo Cho United States
Sayeon Cho South Korea
Safikur Rahman India
Tushar Kanti Maiti India
Serena Rinaldo Italy
Miroslav Šulc Czechia
Mathilde Louwagie France
Anna Herman-Antosiewicz Poland
Bin Zeng China
Beom Sik Kang relative to Yiu‐Kay Lai Taiwan Yiu‐Kay Lai's profile →
Citations per field
00.5×1.5×1.9×
Yiu‐Kay Lai · 1×
Citations per year

Countries citing papers authored by Beom Sik Kang

Since Specialization
Citations

This map shows the geographic impact of Beom Sik Kang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Beom Sik Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beom Sik Kang more than expected).

Fields of papers citing papers by Beom Sik Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beom Sik Kang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Beom Sik Kang. The network helps show where Beom Sik Kang may publish in the future.

Co-authorship network of co-authors of Beom Sik Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Beom Sik Kang. A scholar is included among the top collaborators of Beom Sik Kang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beom Sik Kang. Beom Sik Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 6
4 21
5 2
6 29
7 7
8 51
9 52
10 14
11 5
12 9
13 12
14 1
15 100
16 10
17 41
18 78
19 86
20
Purification and Characterization of Two Extracellular Proteases from Oligotropha carboxydovorans DSM 1227
3

About Beom Sik Kang

Beom Sik Kang is a scholar working on Pollution, Molecular Biology and Cell Biology, having authored 72 papers that have together received 1.6k indexed citations. Recurring topics across this work include Enzyme Structure and Function (15 papers), RNA and protein synthesis mechanisms (12 papers) and Microbial bioremediation and biosurfactants (10 papers). The work is most often cited by research in Cell Biology (303 citations), Molecular Biology (1.1k citations) and Molecular Medicine (67 citations). Beom Sik Kang has collaborated with scholars based in South Korea, United States and Hungary. Frequent co-authors include Zygmunt S. Derewenda, Y. Devedjiev, Urszula Derewenda, Ha Yeon Cho, Myung Hee Kim, Hyo Je Cho, David R. Cooper, Sangman Lee, Tae-Kwang Oh and Young‐Seuk Bae. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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